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Key Responsibilities Perform data cleanup and data quality activities to identify, correct, and resolve inconsistencies, duplicates, missing information, and other data issues. Support data migration activities, ensuring accurate and complete transfer of data between systems. Develop and maintain data mapping documentation to ensure source data is correctly aligned with target systems and business requirements. Conduct data review and analysis to identify trends, anomalies, gaps, and opportunities for improving data quality and usability. Work with insurance and broker databases , reviewing and validating data relevant to insurance operations and business processes. Support initiatives to build an AI-ready organization by ensuring data is accurate, structured, consistent, and suitable for analytics and future AI applications. Collaborate with business and technical stakeholders to understand data requirements, investigate data issues, and support data-related projects. Create reports, dashboards, and data visualizations to communicate findings and support business decision-making. Required Skills & Qualifications Experience in data analysis, data quality, data migration, data mapping, or related data-focused roles . Strong analytical and problem-solving skills with attention to detail. Advanced working knowledge of Microsoft Excel . Experience with Python for data analysis, manipulation, and/or data processing. Experience with Power BI for reporting, dashboards, and data visualization. Ability to work with large datasets and identify data quality issues. Strong understanding of data structures, data validation, and data management concepts. Good communication skills and ability to work with both business and technical stakeholders. Preferred Background Experience working with insurance or broker databases . Background in insurance and/or accounting is preferred. Experience supporting data migration and transformation projects . Exposure to AI/data readiness initiatives or preparing organizational data for advanced analytics and AI use cases.